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Volumn , Issue , 2007, Pages 259-266

Best-first AND/OR search for most probable explanations

Author keywords

[No Author keywords available]

Indexed keywords

BEST FIRST SEARCH; BEST-FIRST STRATEGY; BRANCH AND BOUNDS; BRANCH-AND-BOUND ALGORITHMS; CONTROL STRATEGIES; DEPTH FIRST; MOST PROBABLE EXPLANATION; PROBABILISTIC NETWORK; SEARCH ALGORITHMS; SEARCH SPACES;

EID: 79851512316     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (16)
  • 2
    • 0035369520 scopus 로고    scopus 로고
    • A general scheme for automatic generation of search heuristics from specification dependencies
    • K. Kask and R. Dechter. A general scheme for automatic generation of search heuristics from specification dependencies. Artificial Intelligence, 2001.
    • (2001) Artificial Intelligence
    • Kask, K.1    Dechter, R.2
  • 3
    • 84880741254 scopus 로고    scopus 로고
    • And/or branch-and-bound for graphical models
    • R. Marinescu and R. Dechter. And/or branch-and-bound for graphical models. In IJCAI, pages 224-229, 2005.
    • (2005) IJCAI , pp. 224-229
    • Marinescu, R.1    Dechter, R.2
  • 5
    • 80053214152 scopus 로고    scopus 로고
    • Memory intensive branch-and-bound search for graphical models
    • R. Marinescu and R. Dechter. Memory intensive branch-and-bound search for graphical models. In AAAI, 2006.
    • (2006) AAAI
    • Marinescu, R.1    Dechter, R.2
  • 6
    • 80053206915 scopus 로고    scopus 로고
    • Best-first and/or search for 0-1 integer programming
    • R. Marinescu and R. Dechter. Best-first and/or search for 0-1 integer programming. In CPAIOR, 2007.
    • (2007) CPAIOR
    • Marinescu, R.1    Dechter, R.2
  • 8
    • 56449118429 scopus 로고    scopus 로고
    • Best-first and/or search for graphical models
    • R. Marinescu and R. Dechter. Best-first and/or search for graphical models. In AAAI, 2007.
    • (2007) AAAI
    • Marinescu, R.1    Dechter, R.2
  • 9
    • 0003815444 scopus 로고
    • Taking advantage of stable sets of variables in constraint satisfaction problems
    • E. Freuder and M. Quinn. Taking advantage of stable sets of variables in constraint satisfaction problems. In IJCAI, pages 1076-1078, 1985.
    • (1985) IJCAI , pp. 1076-1078
    • Freuder, E.1    Quinn, M.2
  • 13
    • 0035250750 scopus 로고    scopus 로고
    • Recursive conditioning
    • DOI 10.1016/S0004-3702(00)00069-2
    • A. Darwiche. Recursive conditioning. Artificial Intelligence, 126(1-2):5-41, 2001. (Pubitemid 32196230)
    • (2001) Artificial Intelligence , vol.126 , Issue.1-2 , pp. 5-41
    • Darwiche, A.1
  • 14
    • 33749541860 scopus 로고    scopus 로고
    • Solving Bayesian networks by weighted model counting
    • T. Sang, P. Beame, and H. Kautz. Solving Bayesian networks by weighted model counting. In AAAI, pages 475-482, 2005.
    • (2005) AAAI , pp. 475-482
    • Sang, T.1    Beame, P.2    Kautz, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.